Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Showing 64-84 of 11,961 articles
Assessing the cardioprotective effects of exercise in APOE mouse models using deep learning and photon-counting micro-CT.

BACKGROUND: The allelic variations of the apolipoprotein E (APOE) gene play a critical role in regul...

Classroom network structure learning engagement and parallel temporal attention LSTM based knowledge tracing.

In order to accurately assess the students' learning process and the cognitive state of knowledge po...

Design of an Interactive Exercise and Leisure System for the Elderly Integrating Artificial Intelligence and Motion-Sensing Technology.

In response to the global trend of population aging, the issue of providing elderly individuals suit...

Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model.

INTRODUCTION: This study investigates the potential of a deep learning-based Life Log Sharing Model ...

Contemporary digital marketing techniques used in unhealthy food campaigns targeting young people.

The digital marketing of unhealthy foods and non-alcoholic beverages has a detrimental impact on chi...

An innovative model based on machine learning and fuzzy logic for tracking lower limb exercises in stroke patients.

Rehabilitation after a stroke is vital for regaining functional abilities. However, a shortage of re...

Pathophysiological mechanisms of exertional dyspnea in people with cardiopulmonary disease: Recent advances.

Physical activity is a leading trigger of dyspnea in chronic cardiopulmonary diseases. Recently, the...

Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children.

BACKGROUND: Child nutrition in Ethiopia is a significant concern, particularly for preschool-aged ch...

Development of an artificial intelligence-enhanced warfarin interaction checker platform.

Warfarin is a common anticoagulant drug for thrombo-prophylaxis in stroke and venous thromboembolism...

Learning from the machine: is diabetes in adults predicted by lifestyle variables? A retrospective predictive modelling study of NHANES 2007-2018.

OBJECTIVES: This study aimed to compare the performance of five machine learning algorithms to predi...

NutriRAG: Unleashing the Power of Large Language Models for Food Identification and Classification through Retrieval Methods.

OBJECTIVE: This study explores the use of advanced Natural Language Processing (NLP) techniques to e...

Improving traceability and quality control in the red-meat industry through computer vision-driven physical meat feature tracking.

Current traceability systems rely heavily on external markers which can be altered or tampered with....

Harnessing generative AI in exercise and sports science education: enhancing real-world learning and overcoming traditional barriers in data analysis.

Generative AI (GenAI) offers transformative potential for exercise and sports science education, add...

Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management.

Sports cardiology focuses on athletes' cardiovascular health, yet sudden cardiac death remains a sig...

A Novel Mouse Model of Type 2 Diabetes Using a Medium-Fat Diet, Fructose, and Streptozotocin to Study the Complications of Human Disease.

The study of type 2 diabetes mellitus (T2DM) pathophysiology relies mainly on the use of animal mode...

Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners.

Generative artificial intelligence (GenAI) presents novel approaches to enhance motivation, curricul...

Machine Learning Models Integrating Dietary Indicators Improve the Prediction of Progression from Prediabetes to Type 2 Diabetes Mellitus.

: Diet plays an important role in preventing and managing the progression from prediabetes to type 2...

Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.

BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea...

A Scoping Review of Artificial Intelligence for Precision Nutrition.

With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping re...

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. ...

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